Literature DB >> 34372489

A Systematic Review of Recommender Systems and Their Applications in Cybersecurity.

Aleksandra Pawlicka1, Marek Pawlicki1, Rafał Kozik1, Ryszard S Choraś2.   

Abstract

This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the state of the art concerning the use of recommender systems in cybersecurity; both the existing solutions and future ideas are presented. The contribution of this paper is two-fold: to date, to the best of our knowledge, there has been no work collecting the applications of recommenders for cybersecurity. Moreover, this paper attempts to complete a comprehensive survey of recommender types, after noticing that other works usually mention two-three types at once and neglect the others.

Entities:  

Keywords:  collaborative filtering; cybersecurity; recommender systems

Year:  2021        PMID: 34372489     DOI: 10.3390/s21155248

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Sensors and Pattern Recognition Methods for Security and Industrial Applications.

Authors:  Michał Choraś; Rafał Kozik; Marek Pawlicki
Journal:  Sensors (Basel)       Date:  2022-08-10       Impact factor: 3.847

2.  A Deterministic Model for Determining Degree of Friendship Based on Mutual Likings and Recommendations on OTT Platforms.

Authors:  Aqeel Khalique; Mohammad Khalid Imam Rahmani; Mohd Saquib; Imran Hussain; Abdul Wahab Muzaffar; Mohd Abdul Ahad; Md Tabrez Nafis; Mohd Wazih Ahmad
Journal:  Comput Intell Neurosci       Date:  2022-06-30
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.